README.md

metadata

license: mit
base_model: microsoft/table-transformer-structure-recognition
tags:
  - generated_from_trainer
model-index:
  - name: tblstructrecog_finetuned_tbltransstrucrecog_v1_suba_s1_106s
    results: []

tblstructrecog_finetuned_tbltransstrucrecog_v1_suba_s1_106s

This model is a fine-tuned version of microsoft/table-transformer-structure-recognition on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1500
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.19.1